node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,033 papers shown

Title
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach Hang Gao Jiangmeng Li Jingyao Wang Hui Xiong Gang Hua Changwen Zheng 23 11 0 11 Jan 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing Donald Loveland Jiayi Pan A. Bhathena Yiyang Lu 13 16 0 10 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 33 0 0 05 Jan 2022
Graph Neural Networks: a bibliometrics overview Abdalsamad Keramatfar Mohadeseh Rafiee Hossein Amirkhani GNN AI4CE 43 24 0 03 Jan 2022
Semi-Supervised Graph Attention Networks for Event Representation Learning João Pedro Rodrigues Mattos R. Marcacini GNN 19 4 0 02 Jan 2022
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 30 13 0 29 Dec 2021
Multilayer Graph Contrastive Clustering Network Liang Liu Zhao Kang Ling Tian Wenbo Xu Xixu He 13 15 0 28 Dec 2021
Task and Model Agnostic Adversarial Attack on Graph Neural Networks Kartik Sharma S. Verma Sourav Medya Arnab Bhattacharya Sayan Ranu AAML 26 8 0 25 Dec 2021
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks Yu Zhao Shaopeng Wei Huaming Du Xingyan Chen Qing Li Fuzhen Zhuang Jiaheng Liu Gang Kou 44 10 0 24 Dec 2021
Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code Peng Xu 22 5 0 19 Dec 2021
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories Ziquan Fang Yuntao Du Xinjun Zhu Lu Chen Yunjun Gao Christian S. Jensen AI4TS 32 60 0 17 Dec 2021
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning Thilini Cooray Ngai-man Cheung 29 6 0 16 Dec 2021
Unsupervised Matching of Data and Text N. Ahmadi H. Sand Paolo Papotti 39 19 0 16 Dec 2021
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast Linpu Jiang Ke-Jia Chen Jingqiang Chen SSL 29 10 0 16 Dec 2021
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 24 60 0 15 Dec 2021
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding Fei Chen Gene Cheung Xue Zhang 24 3 0 15 Dec 2021
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amilcar Soares Franccois Théberge 29 3 0 13 Dec 2021
BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen Yulia R. Gel H. Vincent Poor GNN 33 34 0 13 Dec 2021
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification Yinhua Piao Sangseon Lee Dohoon Lee Sun Kim 26 34 0 13 Dec 2021
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures S. Wein Alina Schüller A. Tomé W. Malloni M. Greenlee E. Lang AI4CE 43 14 0 08 Dec 2021
Pairwise Learning for Neural Link Prediction Zhitao Wang Yong Zhou L. Jeff Hong Yuanhang Zou Hanjing Su Shouzhi Chen 20 26 0 06 Dec 2021
Learning Query Expansion over the Nearest Neighbor Graph Benjamin Klein Lior Wolf 30 1 0 05 Dec 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Chenxing Wang GNN AI4TS 19 1 0 04 Dec 2021
Learning Large-scale Network Embedding from Representative Subgraph Junsheng Kong Weizhao Li Ben Liao J. Qiu Chang-Yu Hsieh Hsieh Yijin Cai Jin-Hui Zhu Shengyu Zhang GNN 21 1 0 02 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 22 39 0 02 Dec 2021
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs Bogumil Kamiñski Ł. Kraiński P. Prałat F. Théberge 28 8 0 30 Nov 2021
On the combination of graph data for assessing thin-file borrowers' creditworthiness Ricardo Muñoz-Cancino Cristián Bravo Sebastián A. Ríos M. Graña 28 14 0 26 Nov 2021
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors Haibin Zheng Minying Ma Jinyin Chen Haiyang Xiong Zhijun Yang 25 9 0 26 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 28 2 0 25 Nov 2021
Multi-fidelity Stability for Graph Representation Learning Yihan He Joan Bruna 22 0 0 25 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 43 88 0 23 Nov 2021
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors Zihan Yan Li Liu Xin Li William K. Cheung Youmin Zhang Qun Liu Guoyin Wang 24 7 0 22 Nov 2021
Citation network applications in a scientific co-authorship recommender system Vladislav Tishin Artyom Sosedka Peter Ibragimov Vadim Porvatov GNN 27 2 0 22 Nov 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 26 152 0 21 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming Yizhen Zheng Ming Jin Shirui Pan Yuan-Fang Li Hao Peng Ming Li Zhao‐Rui Li SSL 38 24 0 20 Nov 2021
QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core Yuke Wang Boyuan Feng Yufei Ding GNN 33 41 0 18 Nov 2021
Network Generation with Differential Privacy Xu Zheng Nicholas McCarthy Jer Hayes 30 2 0 17 Nov 2021
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting Y. Shin Yoonjin Yoon AI4TS GNN 34 1 0 15 Nov 2021
SocialBERT -- Transformers for Online SocialNetwork Language Modelling I. Karpov Nick Kartashev 30 3 0 13 Nov 2021
Implicit SVD for Graph Representation Learning Sami Abu-El-Haija Hesham Mostafa Marcel Nassar V. Crespi Greg Ver Steeg Aram Galstyan 45 5 0 11 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction Amur Ghose Vincent Zhang Yingxue Zhang Dong Li Wulong Liu Mark Coates 48 27 0 10 Nov 2021
Inferential SIR-GN: Scalable Graph Representation Learning Janet Layne Edoardo Serra GNN 21 9 0 08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 30 50 0 08 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications Gengchen Mai K. Janowicz Yingjie Hu Song Gao Bo Yan Rui Zhu Ling Cai Ni Lao 69 114 0 07 Nov 2021
High-order joint embedding for multi-level link prediction Yubai Yuan Annie Qu 18 2 0 07 Nov 2021
Community detection using low-dimensional network embedding algorithms Aman Barot S. Bhamidi Souvik Dhara 20 8 0 04 Nov 2021
Improving Peer Assessment with Graph Convolutional Networks Alireza A. Namanloo Julie Thorpe Amirali Salehi-Abari GNN 30 2 0 04 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence Achintya Gopal Chun-Han Chang 40 3 0 02 Nov 2021
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec Mahmoud Abdelrahman A. Chong Clayton Miller 17 66 0 30 Oct 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding R. A. Khan M. Kleinsteuber SSL 30 3 0 29 Oct 2021